Source: Quality and Reliability Engineering International. Unidade: ICMC
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), PROCESSOS DE POISSON, DADOS DE CONTAGEM
ABNT
JESUS, Bruno D; FERREIRA, Paulo Henrique; BOAVENTURA, Laion Lima; et al. Statistical process control of overdispersed count data based on one-parameter Poisson mixture models. Quality and Reliability Engineering International, Oxford, 2022. Disponível em: < https://doi.org/10.1002/qre.3077 > DOI: 10.1002/qre.3077.APA
Jesus, B. D., Ferreira, P. H., Boaventura, L. L., Fiaccone, R. L., Silva, W. B. da, Ramos, P. L., & Louzada Neto, F. (2022). Statistical process control of overdispersed count data based on one-parameter Poisson mixture models. Quality and Reliability Engineering International. doi:10.1002/qre.3077NLM
Jesus BD, Ferreira PH, Boaventura LL, Fiaccone RL, Silva WB da, Ramos PL, Louzada Neto F. Statistical process control of overdispersed count data based on one-parameter Poisson mixture models [Internet]. Quality and Reliability Engineering International. 2022 ;Available from: https://doi.org/10.1002/qre.3077Vancouver
Jesus BD, Ferreira PH, Boaventura LL, Fiaccone RL, Silva WB da, Ramos PL, Louzada Neto F. Statistical process control of overdispersed count data based on one-parameter Poisson mixture models [Internet]. Quality and Reliability Engineering International. 2022 ;Available from: https://doi.org/10.1002/qre.3077